101 to 119 of 119 CUDA Jobs in the UK excluding London

focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Responsibilities - Develop and optimise C/C++ and CUDA code to enhance the performance of the simulation engine - Manage the efficient utilisation of GPU and CPU resources through optimisation techniques - Implement robust memory management strategies to ensure optimal … development of technical reports and documentation - Collaborate with the team to integrate the simulation engine with various Matlab/Simulink models Required Skills and Qualifications C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Location: Stevenage Clearance: Security Clearance - SC and UKEO (you MUST be a British More ❯

global trading operations. Engineer core platform components: memory allocators, kernel bypass, custom RPC, and distributed compute frameworks. Optimise performance at the hardware/software boundary, including GPU acceleration and CUDA-based compute. Work on Linux kernel internals, networking stacks, and system-level debugging. Technical Requirements: 3+ years of experience in C++ (C++17/20) with strong knowledge of memory … management, concurrency, and performance tuning. Experience with GPU programming (CUDA), SIMD, and kernel-level development. Deep understanding of data structures, lock-free algorithms, and low-latency systems. Familiarity with Linux internals, system calls, and performance profiling tools. Background in platform engineering, distributed systems, or high-performance computing. Preferred Background: Participation in competitive programming contests (IOI, ICPC, Codeforces, etc.). More ❯

with MATLAB/Simulink models. The focus is on optimising GPU and CPU code to enhance simulation speed and runtime efficiency. Key Responsibilities: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across … GPU and CPU architectures Capable of producing clear, concise, and technically sound documentation What do you need?: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across GPU and CPU architectures Capable of More ❯

with MATLAB/Simulink models. The focus is on optimising GPU and CPU code to enhance simulation speed and runtime efficiency. Key Responsibilities: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across … GPU and CPU architectures Capable of producing clear, concise, and technically sound documentation What do you need?: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across GPU and CPU architectures Capable of More ❯

no checklist, but you’ll likely thrive in this role if you have: Technical Experience Strong engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: CUDA, PTX/SASS, Tensor Cores, memory hierarchy, warp-level primitives Familiarity with ML frameworks like PyTorch, and their internals Proficiency in profiling and debugging tools like NSight, CUDA More ❯

The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Key Skillset Essential: C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Desirable: Network Programming Configuration control and model release processes Continuous Integration and Testing More ❯

as-code mindset Hands-on experience resolving GPU workload issues across compute clusters and supporting technologies Familiarity with performance tooling and debugging in live production environments Practical experience with CUDA or systems-level programming in C/C++ Experience with config management frameworks like Salt, Ansible, or Puppet (Preferred) Experience with GPU communication and interconnect technologies (e.g. collective communication More ❯

Software Engineer with graphics processing experience (GPU, CUDA) is re quired for a long term contract assignment based in Stevenage or Bristol - full time on site. Essential experience: C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Desirable experience Network Programming Configuration control and model release More ❯

level position 5+ years' experience in software development. Good development skills in cloud visualization applications where knowledge is key. Computer Graphics WebGL OpenGL HTML5 MEAN stack. Java/C++ CUDA Augmented/Virtual Reality Game Engines Video streaming a plus. Please, get in touch to discuss and apply for this exciting role More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience: : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience: : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯

and hands-on experience with frameworks like PyTorch, TensorFlow, or JAX Experience building ML models in unique settings (e.g., constrained hardware or novel data) Familiarity with GPU processing (e.g., CUDA) and a range of ML techniques Bonus if you’ve worked in a client-facing or consultancy setting Next Steps This Machine Learning Consultant role is generating a lot More ❯

and hands-on experience with frameworks like PyTorch, TensorFlow, or JAX Experience building ML models in unique settings (e.g., constrained hardware or novel data) Familiarity with GPU processing (e.g., CUDA) and a range of ML techniques Bonus if you’ve worked in a client-facing or consultancy setting Next Steps This Machine Learning Consultant role is generating a lot More ❯

Save this vacancy without amending this text to generate an automated job advert within 2 minutes. More ❯

top degree in a STEM subject UK nationality Experience deploying machine learning on hardware, from embedded systems to edge computing, is desirable. Knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc.) is also a plus. Your future colleagues are highly skilled professionals from diverse industry backgrounds, fostering a low-management, team-oriented environment that values individual expertise. Benefits More ❯

deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work More ❯

deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work More ❯